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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JT4CT5
Repositorysid.inpe.br/sibgrapi/2015/07.22.13.26
Last Update2015:07.22.13.26.14 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.22.13.26.14
Metadata Last Update2022:05.18.22.20.59 (UTC) administrator
Citation KeyQueirozPamp:2015:AnAcMé
TitleAnálise da acurácia de métodos de descrição 2D para o reconhecimento facial 3D
FormatOn-line
Year2015
Access Date2024, May 06
Number of Files1
Size3079 KiB
2. Context
Author1 Queiroz, Jonathan Coutinho Luz de
2 Pamplona Segundo, Maurício
Affiliation1 Universidade Federal da Bahia
2 Universidade Federal da Bahia
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
e-Mail Addressresearch@johnjq.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-22 13:26:14 :: research@johnjq.com -> administrator ::
2022-05-18 22:20:59 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsreconhecimento facial
biometria
visão computacional
AbstractWith the growing need for strict access control of computational systems, face recognition has shown to be viable and effective in authentication systems. In particular, face recognition based on 3D images by converting them to 2D images has been studied due to the reduced influence of factors such as illumination and pose. This approach consists in the application of projection techniques to obtain 2D images, which allows the application of traditional 2D description methods for recognition. The focus of this work is the analysis of the accuracy achieved by these methods in the 3D face recognition. To this end, we compared the obtained results for UGS, PCA, HOG, LBP and LDA descriptors. The main contribution is the observation that robust methods such as HOG, LBP and PCA yield lower performance than UGS, which is much more simple, when used for 3D face recognition. This demonstrates the necessity of developing description methods specifically for this task.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Análise da acurácia...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JT4CT5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JT4CT5
Languagept
Target Filemain-ready.pdf
User Groupadministrator
research@johnjq.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 10
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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